The land-based fish farm toolkit built for decision-making
One package, three deliverables: a full research report, an interactive HTML simulator, and an Excel financial model — built together, from the same sourced data, so they never contradict each other.
The land-based fish farm toolkit is built from a dedicated research pass across ten African aquaculture markets, with confidence shown per field so you can see exactly what is sourced, what is estimated, and what is a generic placeholder.
Most aquaculture “business plan” templates are written once and sold many times, with the same numbers dressed up for whichever country the buyer happens to be in. The land-based fish farm toolkit works differently: the report, the simulator, and the Excel model all draw on the same underlying research, country by country, so a change in one place is reflected everywhere else. The aim is practical — help a sponsor evaluate a real project with enough structure to make a better decision, without hiding the uncertainty that any honest feasibility exercise has to carry.
Eighteen chapters and four annexes covering context, method, system and species choice, ten country dossiers, financing, monitoring, subsidies, and sector perspectives.
A guided, five-step interactive tool — location, CAPEX, OPEX and financing, revenue assumptions, results — with a live health score and a PDF export.
Seven linked worksheets turning your assumptions into a five-year projection, with debt service, NPV, IRR, and scenario comparison, fully formula-driven.
Most aquaculture planning tools fall into one of two categories: a static report nobody can interrogate, or a spreadsheet with no context behind its numbers.
A PDF report alone cannot be recalculated when your assumptions change. A bare Excel model, downloaded from a generic template site, cannot tell you whether its default feed cost or CAPEX range has anything to do with the country you are actually operating in. This land-based fish farm toolkit was built to close both gaps at once: the report supplies the market and technical research, the simulator turns that research into a fast, editable first read, and the Excel model gives a finance team a fully auditable version of the same logic.
None of the three pretends to know more than the underlying research supports — where ten country research passes found strong evidence, The land-based fish farm toolkit shows it; where they found a thin or single-source case, it says so plainly rather than smoothing the gap with an invented number.
That honesty is itself a feature. A sponsor who can see that Cameroon’s CAPEX case is a documented, sourced project while Tanzania’s is flagged as the thinnest chapter in the research knows exactly where to spend their own local due diligence — instead of treating every number in a generic template as equally solid, which is how weak assumptions quietly survive all the way into a funding request.
Each part of the land-based fish farm toolkit plays a distinct role. Click through to see what each one actually contains.
Report
Eighteen chapters and four annexes: market context, system and species comparison, ten country dossiers, financing, subsidies, monitoring, and sector perspectives — every figure tagged sourced, estimated, or generic.
The report opens with continental context, then builds the shared frameworks — feasibility method, system and species comparison, market structure, profitability logic, and the five risk families — before applying all of it to ten country dossiers: Egypt, Nigeria, Ghana, Kenya, Uganda, Cameroon, Côte d’Ivoire, Tanzania, Zambia, and Senegal. It closes with investment strategy, financing, governance, monitoring, subsidies, and sector perspectives, plus annexes on materials, AI in aquaculture, a glossary, and a subsidy register. Every country chapter follows the same template — market snapshot, sales channels, profitability, and risk — so comparing two markets means reading the same section twice, not hunting for equivalent information in different formats.
The fish farm business simulator walks you through five steps — location and market context, CAPEX, OPEX and financing, revenue assumptions, and results — with real-time recalculation at every step. Ten researched country presets plus a generic fallback, tooltips with source status on every field, a live configuration health score, and a five-chart PDF export you can share with a partner or lender. Currency display covers ten major African currencies alongside EUR and USD, with every conversion clearly marked as indicative rather than a live exchange rate.
The Excel model mirrors the simulator’s logic in seven linked, fully-formula worksheets: inputs, hypotheses, species comparison, system comparison, the financial engine, scenario and sensitivity analysis, and a dashboard. Payback is calculated from actual cumulative cash flow crossing zero, not from EBITDA — and every hardcoded assumption is colour-coded and documented, so a reviewer can tell at a glance what came from research and what still needs a local quote.
Bought separately, a report, a simulator, and a spreadsheet rarely agree with each other for long — assumptions drift, one gets updated and the others don’t. Built together, they stay in sync.
The report’s country research, the simulator’s presets, and the Excel model’s defaults all trace back to the same sourced figures.
Sourced, estimated, or generic — shown per field, not just per country, in every deliverable.
Change one assumption and watch the five-year projection, payback, NPV, and IRR update — in the simulator instantly, in Excel on recalculation.
French and English throughout the simulator, so the land-based fish farm toolkit works for the sponsor and for the partners they bring into the conversation.
Designed to be checked, not just trusted
Every number in the land-based fish farm toolkit is either traceable to a named source or explicitly marked as an estimate you should verify locally. That is a deliberate choice: a sponsor who can see exactly which figures are solid and which need a local quote makes better decisions than one handed a single confident-looking total. The Excel model in particular is built so a finance team can open it, trace every formula, and audit it line by line before it goes anywhere near a lender.
The same principle runs through the report and the simulator. Tooltips explain not just what a field means but why it matters for the business case, and each one carries a source tag — sourced, estimated, or generic — so nothing is ever presented with more confidence than the underlying evidence actually supports.
For context: aquaculture data sources worth knowing
Not competing offers — background sources referenced in the toolkit’s own research.
One package. Three ways to see the same project clearly.
If you want a structured way to evaluate a land-based fish farm — not isolated files, but a report, a simulator, and a model that all agree with each other — this is the land-based fish farm toolkit built for that.
